Giraffe Chess - High Level Assessment
If you mean high level assessment of self-learned evaluation functions in chess, then no, the advantage of a better evaluation function lies in the ability to prune the search tree more aggressively. So you would on the contrary try to search narrowly but deeply. 

(In reality neural network based evaluation functions are so slow, that you would search narrowly and still not get very deep. Nor very strong.)

If you mean chess programming in general, than the answer is also no. In chess you have to go deep, at least selectively, because tactical possibilities that occur deep in some variations are important.